complete mergesort algorithm filling in the blanks with the proper Python expression, operator, variable, or value. a. def mergeSort (aList): if len (aList) > 1: b. mid = len (aList) // 2 lefthalf = aList ( righthalf = aList[_ elif mergeSort (lefthalf) mergeSort ( i = 0 j = 0 k = 0 else: while i

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Complete the recursive binarySearch and merge Sort algorithms below as covered in the textbook/lecture by
filling in the blanks with the proper Python expression, operator, variable, or value.
a.
def mergeSort (aList):
if len (aList) > 1:
b.
mid= len (aList) // 2
lefthalf aList[_
righthalf aList[
mergeSort (lefthalf)
elif
mergeSort (
i = 0
j=0
k = 0
else:
while i<len (lefthalf) and j < len (righthalf):
if lefthalf[i] <=
aList[k] =
i = i + 1
else:
while
k =
while i < len(
aList[
i = i +1
k=k+1
aList [k] =
j=j+1
aList[
k = k + 1
mid= len (intList) // 2
if intList[_
return
return binarySearch (
< len(
return binarySearch (
=j+1
#intList is a list of integers. item is the element to be searched for in intList.
#Return True if item is found in intList, otherwise return False
def binarySearch (intList, item):
if len (intList) ==
return
== item:
=
< intList [mid]:
[[j]:
[i]
=lefthalf[i]
[[j]
righthalf [j]
item)
item)
:
Transcribed Image Text:Complete the recursive binarySearch and merge Sort algorithms below as covered in the textbook/lecture by filling in the blanks with the proper Python expression, operator, variable, or value. a. def mergeSort (aList): if len (aList) > 1: b. mid= len (aList) // 2 lefthalf aList[_ righthalf aList[ mergeSort (lefthalf) elif mergeSort ( i = 0 j=0 k = 0 else: while i<len (lefthalf) and j < len (righthalf): if lefthalf[i] <= aList[k] = i = i + 1 else: while k = while i < len( aList[ i = i +1 k=k+1 aList [k] = j=j+1 aList[ k = k + 1 mid= len (intList) // 2 if intList[_ return return binarySearch ( < len( return binarySearch ( =j+1 #intList is a list of integers. item is the element to be searched for in intList. #Return True if item is found in intList, otherwise return False def binarySearch (intList, item): if len (intList) == return == item: = < intList [mid]: [[j]: [i] =lefthalf[i] [[j] righthalf [j] item) item) :
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